Research Scientist, Reality Labs at Meta
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tomhodan@meta.com
I am a Research Scientist at Reality Labs at Meta in Zurich. My research is focused on computer vision, mostly on 3D tracking of objects and hands. Prior to joining Meta in 2020, I received my PhD under the supervision of Prof. Jiří Matas at the Czech Technical University in Prague, during which I worked on object pose estimation (EPOS, T-LESS), synthesis of effective training data (ObjectSynth, BlenderProc), and started co-organizing the BOP benchmark and the R6D workshops. Some of this work is coming from my internships at Microsoft Research in Redmond and Google in Munich. Prior to that, I obtained my Bachelor's and Master's degree from the Brno University of Technology. I received the Rector's Prize for an outstanding PhD thesis and the Dean's Prize for an excellent Master's thesis.
8th edition (ICCV 2023, Paris), 7th edition (ECCV 2022, Tel-Aviv), 6th edition (ECCV 2020, Glasgow), 5th edition (ICCV 2019, Seoul), 4th edition - summary (ECCV 2018, Munich), 3rd edition (ICCV 2017, Venice), 2nd edition (ECCV 2016, Amsterdam), 1st edition (ICCV 2015, Santiago)
T. Hodaň, R. Kouskouridas, T.-K. Kim, F. Tombari, K. Bekris, B. Drost, T. Groueix, K. Walas, V. Lepetit, A. Leonardis, C. Steger, F. Michel, C. Sahin, C. Rother, J. Matas
A Summary of the 4th International Workshop on Recovering 6D Object Pose
European Conference on Computer Vision Workshops (ECCVW) 2018, Munich
BlenderProc4BOP - An open-source, light-weight, procedural and photorealistic (PBR) renderer.
DARWIN - A dexterous assembler robot working with embodied intelligence.
Pattern Recognition and Machine Learning (2013-2018) - a course at Faculty of Electrical Engineering, CTU